Book Recommendation Using Collaborative Filtering Algorithm
The explosive growth in the amount of available digital information in higher education has created a potential challenge of information overload, which hampers timely access to items of interest. The recommender systems are applied in different domains such as recommendations film, tourist advising...
Main Authors: | Esmael Ahmed, Adane Letta |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2023-01-01
|
Series: | Applied Computational Intelligence and Soft Computing |
Online Access: | http://dx.doi.org/10.1155/2023/1514801 |
Similar Items
-
Collaborative filtering recommendation algorithm based on variational inference
by: Kai Zheng, et al.
Published: (2020-03-01) -
Feature Extracted Deep Neural Collaborative Filtering for E-Book Service Recommendations
by: Ji-Yoon Kim, et al.
Published: (2023-06-01) -
Dual-Channel Feature Enhanced Collaborative Filtering Recommendation Algorithm
by: Yuanyou Ou, et al.
Published: (2023-06-01) -
Collaborative Filtering Recommendation Algorithm Based on Rating Region Subspace
by: SUN Xiao-han, ZHANG Li
Published: (2022-07-01) -
Recommender Systems and Collaborative Filtering
by: Fernando Ortega, et al.
Published: (2020-10-01)